Improvement of real time human face recognition
Other Title(s)
تحسين تميز الوجوه خلال الوقت الحقيقي
Dissertant
Thesis advisor
Comitee Members
al-Hamami, Ala Husayn
Aqil, Misbah Jumah
University
Amman Arab University
Faculty
Collage of Computer Sciences and Informatics
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2009
English Abstract
Face recognition is becoming an increasingly important area with advances in technology and computer vision.
There are many applications that can benefit from face recognition including surveillance systems, human tracking, and police screening.
Researchers have proposed many algorithms for face recognition; these algorithms differ in recognition rate.
This thesis, presents a study of the recognition rate of face recognition algorithms.
This work concentrates on the following algorithms: Principal Component Analysis, Two Dimensional Principal Component Analysis in Column Direction, Two Dimensional Principal Component Analysis in Row Direction and Two Dimensional Two Directional Principal Component Analysis.
All these algorithms are implemented into two stages: training stage and recognition stage.
We present a comparison between the four algorithms with respect to recognition rate.
An important optimization in the training and recognition stages is presented in this work.
In case of optimization, a proposal algorithm is implemented based on Discrete Wavelet Transform, the proposed algorithm minimize the images size.
Then these minimized images are entered to a Principal Component Analysis algorithm.
A complexity reduction is achieved by optimizing the number of comparison operations needed.
This optimization does not increase the recognition rate only, but it is also reduces the execution time, by decreasing the number of comparison operations needed.
This work shows the effect of the optimizations on the recognition rate via applying face recognition algorithms.
These algorithms are implemented using MATLAB programming language.
The testing occurs then using Olivetti Research Laboratory database.
The obtained results show that an improvement of 4 to 5 % is achieved by introducing Discrete Wavelet Transform.
Main Subjects
No. of Pages
60
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Face recognition.
Chapter Four : Proposed work.
Chapter Five : Results and discussion.
Chapter Six : Conclusion and future work.
References.
American Psychological Association (APA)
Sulayman, Muna. (2009). Improvement of real time human face recognition. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-526516
Modern Language Association (MLA)
Sulayman, Muna. Improvement of real time human face recognition. (Master's theses Theses and Dissertations Master). Amman Arab University. (2009).
https://search.emarefa.net/detail/BIM-526516
American Medical Association (AMA)
Sulayman, Muna. (2009). Improvement of real time human face recognition. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-526516
Language
English
Data Type
Arab Theses
Record ID
BIM-526516